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Cristian Lorenz

Cristian Lorenz

D-Index & Metrics

Computer Science

D-Index
40
Citations
6730
World Ranking
9310
National Ranking
77

Overview

Cristian Lorenz is affiliated with Philips (Finland) in Finland and has a research focus spanning computer science and medicine, with a strong emphasis on computer vision and medical imaging. Their work intersects several subfields including Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Surgery, and Biophysics.

The scientist's research topics cover a range of areas related to medical image analysis and machine learning. The main themes include:

  • Advanced Neural Network Applications
  • Generative Adversarial Networks and Image Synthesis
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Image Segmentation Techniques
  • Medical Imaging Techniques and Applications
  • Advanced MRI Techniques and Applications
  • Medical Imaging and Analysis

Cristian Lorenz has contributed to several recent publications in peer-reviewed journals, illustrating a focus on cardiac and spinal medical imaging as well as automated detection techniques using deep learning and artificial intelligence:

  • On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images, 2022, Medical Image Analysis
  • Label-informed cardiac magnetic resonance image synthesis through conditional generative adversarial networks, 2022, Computerized Medical Imaging and Graphics
  • Reducing segmentation failures in cardiac MRI via late feature fusion and GAN-based augmentation, 2023, Computers in Biology and Medicine
  • AI-based automated detection and stability analysis of traumatic vertebral body fractures on computed tomography, 2024, European Journal of Radiology
  • Cervical spine fracture detection in computed tomography using convolutional neural networks, 2023, Physics in Medicine and Biology

The scientist frequently collaborates with a core group of co-authors, thus working closely alongside:

  • Marcel Breeuwer
  • Josien P. W. Pluim
  • Sina Amirrajab
  • Yasmina Al Khalil
  • Jürgen Weese

Their work is published predominantly in specialized venues that focus on medical imaging and computational methods in medicine, with notable publication venues including:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • arXiv (Cornell University)
  • Computerized Medical Imaging and Graphics
  • Computers in Biology and Medicine
  • Medical Image Analysis

Best Publications

  • Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge

    K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus

  • Automatic Model-Based Segmentation of the Heart in CT Images

    O. Ecabert;J. Peters;H. Schramm;C. Lorenz

  • Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images

    Cristian Lorenz;I.-C. Carlsen;Thorsten M. Buzug;Carola Fassnacht

  • Automated model-based vertebra detection, identification, and segmentation in CT images.

    Tobias Klinder;Tobias Klinder;Jörn Ostermann;Matthias Ehm;Astrid Franz

  • Generation of Point-Based 3D Statistical Shape Models for Anatomical Objects

    Cristian Lorenz;Nils Krahnstöver

  • Biomedical Image Registration

    Bernd Fischer;Benoît M. Dawant;Cristian Lorenz

  • Automated 3-D PDM construction from segmented images using deformable models

    M.R. Kaus;V. Pekar;C. Lorenz;R. Truyen

  • A comprehensive shape model of the heart

    Cristian Lorenz;Jens von Berg

  • Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy

    Thorsten Schlathoelter;Cristian Lorenz;Ingwer C. Carlsen;Steffen Renisch

  • Segmentation of the heart and great vessels in CT images using a model-based adaptation framework

    Olivier Ecabert;Jochen Peters;Matthew J. Walker;Thomas Ivanc

  • A Multi-scale Line Filter with Automatic Scale Selection Based on the Hessian Matrix for Medical Image Segmentation

    Cristian Lorenz;I.-C. Carlsen;Thorsten M. Buzug;Carola Fassnacht

  • An approach to 2D/3D registration of a vertebra in 2D X-ray fluoroscopies with 3D CT images

    Jürgen Weese;Thorsten M. Buzug;Cristian Lorenz;Carola Fassnacht

  • Pulmonary Ventilation Imaging Based on 4-Dimensional Computed Tomography: Comparison With Pulmonary Function Tests and SPECT Ventilation Images

    Tokihiro Yamamoto;Tokihiro Yamamoto;Sven Kabus;Cristian Lorenz;Erik Mittra

  • Modeling atrial fiber orientation in patient-specific geometries: a semi-automatic rule-based approach

    Martin W. Krueger;Viktor Schmidt;Catalina Tobón;Frank M. Weber

  • Four challenges in medical image analysis from an industrial perspective.

    Jürgen Weese;Cristian Lorenz

  • Opportunistic osteoporosis screening in multi-detector CT images via local classification of textures

    A Valentinitsch;S Trebeschi;Johannes Kaesmacher;C Lorenz

  • Automatic extraction of the pulmonary artery tree from multi-slice CT data

    Thomas Buelow;Rafael Wiemker;Thomas Blaffert;Cristian Lorenz

  • Evaluation of 4D-CT Lung Registration

    Sven Kabus;Tobias Klinder;Keelin Murphy;Bram Ginneken

  • Four-dimensional computed tomography pulmonary ventilation images vary with deformable image registration algorithms and metrics

    Tokihiro Yamamoto;Sven Kabus;Tobias Klinder;Jens von Berg

  • Statistical shape model based segmentation of medical images

    Anke Neumann;Cristian Lorenz

Frequent Co-Authors

Olaf Dössel
Olaf Dössel Karlsruhe Institute of Technology
Thorsten M. Buzug
Thorsten M. Buzug University of Lübeck
Josien P. W. Pluim
Josien P. W. Pluim Eindhoven University of Technology
Jörn Ostermann
Jörn Ostermann University of Hannover
David J. Hawkes
David J. Hawkes University College London
Benoit M. Dawant
Benoit M. Dawant Vanderbilt University
Hans-Christian Hege
Hans-Christian Hege Zuse Institute Berlin
Max A. Viergever
Max A. Viergever Utrecht University
Graeme P. Penney
Graeme P. Penney King's College London
Marc Modat
Marc Modat King's College London

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